Department of Food and Nutrition and Sports Science, Center for Health and Performance, University of Gothenburg, Gothenburg, Sweden.
Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences, Sogndal, Norway.
Scand J Med Sci Sports. 2021 Dec;31(12):2333-2342. doi: 10.1111/sms.14052. Epub 2021 Sep 23.
Investigating physical activity (PA) patterns as a detailed intensity spectrum instead of crude intensity categories have improved the ability to analyze the relationship between measured PA and health variables. The aim of this methodological study was to introduce and investigate the utility of using detailed PA intensity spectrum compared to crude PA intensity categories for comparison of PA between groups and between repeated measures. The study sample consisted of two groups of children, where one group was scheduled for extended physical education (PE) by daily classes while the other group followed usual PE schedule. Accelerometer data was processed into traditional crude PA intensity categories and into detailed PA intensity spectrum. Multivariate partial least squares regression for discriminant analysis (PLS-DA) was applied for PA intensity spectrum group comparison and compared to traditional univariate statistical analysis. Repeated measures were investigated using independent PLS-DA as well as multilevel PLS-DA for paired analysis. While traditional analysis of crude PA intensity categories was unable to find any group differences, multivariate analysis of the PA intensity spectrum identified statistically significant differences. By the extension of multilevel PLS-DA for paired comparison, a clear difference in the PA intensity spectrum was demonstrated between repeated measures. In conclusion, analysis of detailed PA intensity spectrum demonstrates utility for comparing detailed PA data between groups and between repeated measures in interventional and observational research.
研究体力活动 (PA) 模式作为详细的强度谱，而不是粗略的强度类别，可以提高分析测量 PA 与健康变量之间关系的能力。本方法研究的目的是介绍和研究使用详细的 PA 强度谱与粗略的 PA 强度类别相比，用于组间和重复测量间 PA 比较的效用。研究样本由两组儿童组成，一组按每日课程安排延长体育课 (PE)，另一组则按常规体育课时间表进行。加速度计数据被处理成传统的粗略 PA 强度类别和详细的 PA 强度谱。多元偏最小二乘判别分析 (PLS-DA) 用于 PA 强度谱组比较，并与传统的单变量统计分析进行比较。使用独立的 PLS-DA 和配对分析的多水平 PLS-DA 研究重复测量。虽然传统的粗略 PA 强度类别的分析无法发现任何组间差异，但 PA 强度谱的多元分析确定了具有统计学意义的差异。通过对配对比较的多水平 PLS-DA 的扩展，在重复测量之间清楚地显示出 PA 强度谱的差异。总之，详细 PA 强度谱的分析对于比较干预和观察性研究中组间和重复测量间的详细 PA 数据具有实用价值。
